The Immune Optimization Algorithm Based on the Logistic Distribution Center Location Problem

被引：0
|
作者：
Zuo Yanli [1 ]
机构：
[1] Henan Vocat Coll Agr, Zhengzhou 451450, Peoples R China
来源：
2015 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL SCIENCE, HUMANITIES, AND MANAGEMENT, ASSHM 2015 | 2015年
关键词：
logistics distribution center; the immune optimization algorithm; objective function; Antibody concentration;
D O I：
暂无
中图分类号：
C [社会科学总论];
学科分类号：
03 ; 0303 ;
摘要：
According to the characteristics of the mathematical model of logistics distribution center location, an improved immune algorithm was designed. The algorithm has good convergence and robustness and could avoid premature convergence effectively. In the process of evolution to maintain the population diversity and self adjusting, through repeated optimization process, it could get the optimal solution quickly. Through the simulation on mathematical model, experimental results show that the immune algorithm can well deal with similar large-scale location problem.
引用
收藏
页码：1063 / 1071
页数：9
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